Cyera Raises $600M at $12B Valuation, Quadrupling Worth in 18 Months on AI Security Demand
AI data security firm Cyera closed a $600 million funding round at a $12 billion valuation, quadrupling its value in 18 months. The round was led by Evolution Equity Partners with participation from Accel, Blackstone, Coatue, AT&T Ventures, and state-owned Temasek. Total funding now exceeds $2.3 billion. The New York company has grown to over 1,500 employees across 18 countries and has completed five acquisitions, including Ryft and Genie, to expand its data security posture management (DSPM) and agentic security capabilities.
Cyera targets a critical blind spot: 68% of enterprises cannot distinguish human activity from AI agent activity within their own systems. As AI agents integrate into enterprise workflows, traditional security tools fail to govern what data agents can access or what they can do. Cyera has tripled annual recurring revenue for three consecutive years and ships over 100 new product capabilities annually across DSPM, data loss prevention, identity management, and behavior-based AI governance—positioning itself as the "trust layer" enterprises need for AI at scale.
Architects should note the valuation momentum reflects urgent demand for governance infrastructure, not hype. Cyera's model—agentless scanning and continuous classification—addresses a real execution gap: enterprises deploy AI first, discover data exposure after. The competitive moat widens with scale (more customers = more training data) and acquisition strategy. Risk: the category consolidates (Wiz at $32B to Google, Palo Alto acquiring Normalyze, Proofpoint via Thoma Bravo acquiring AllTrue.ai). At $12B and backed by Blackstone, Cyera has runway, but the window for independent scale may be narrowing.
Sources
- Primary source
- techtimes.com
“Cyera's valuation has quadrupled since late 2024, when it raised $300 million in Series D funding at a $3 billion valuation”
- calcalistech.com
“The cybersecurity firm has raised $1 billion in six months, targeting the growing gap between AI adoption and enterprise control”
- techfundingnews.com
“68% of enterprises cannot tell human activity from AI agent activity inside their own systems”